Frédéric Cazals

3.0k citations
82 papers · 1.8k · h-index 20

Impact in

Papers in

Frédéric Cazals

80 papers receiving 1.7k citations

Peers

Frédéric Cazals
Comparison fields: 5 of 135
  • Computer Graphics and Computer-Aided Design 615
  • Computational Mechanics 688
  • Geology 141
  • Computer Vision and Pattern Recognition 455
  • Computational Theory and Mathematics 242
Replace Yusu Wang with:
Yusu Wang United States
Xinguo Liu China
R.A. Jarvis Australia
Jim Ruppert United States
Andrew Delong Canada
Rolf Klein Germany
Alex Bronstein Israel
Frédéric Chazal France
Steve Oudot France
Vijay Natarajan India
Frédéric Cazals relative to Yusu Wang United States Yusu Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Frédéric Cazals

Since Specialization
Citations

This map shows the geographic impact of Frédéric Cazals's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frédéric Cazals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Cazals more than expected).

Fields of papers citing papers by Frédéric Cazals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Cazals. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frédéric Cazals. The network helps show where Frédéric Cazals may publish in the future.

Co-authors

The 25 scholars most cited alongside Frédéric Cazals, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Cazals Line = papers co-authored together Frédéric Cazals links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004294
2 2000163
3 2013152
4 2008143
5 2002113
6 200374
7 200653
8 200153
9
Delaunay Triangulation Based Surface Reconstruction: Ideas and Algorithms
200450
10 200343
11 201137
12 200935
13 199529
14 201926
15 201524
16 200123
17 200623
18
Topology driven algorithms for ridge extraction on meshes
200522
19
Some Integral Geometry Tools to Estimate the Complexity of 3D Scenes
199721
20 201620

About Frédéric Cazals

Frédéric Cazals is a scholar working on Computer Graphics and Computer-Aided Design, Molecular Biology, Computational Mechanics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (23 papers), Computational Geometry and Mesh Generation (23 papers), 3D Shape Modeling and Analysis (20 papers), Computer Graphics and Visualization Techniques (16 papers), Advanced Numerical Analysis Techniques (14 papers), Enzyme Structure and Function (9 papers), Topological and Geometric Data Analysis (7 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (615 citations), Computational Mechanics (688 citations), Geology (141 citations), Computer Vision and Pattern Recognition (455 citations) and Computational Theory and Mathematics (242 citations). Frédéric Cazals has collaborated with scholars based in France, India and United States. Frequent co-authors include Marc Pouget, Jean‐Daniel Boissonnat, Chinmay Karande, Joachim Giesen, Pierre Boudinot, Thomas Lewiner, Frédéric Chazal, Claude Puech, Marie‐Paule Lefranc and George Drettakis. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Computational Geometry, Computer Graphics Forum, Journal of Computational Chemistry and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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